Connected Care

Facial recognition technology can be used to monitor sedated patients in intensive care units, alerting healthcare workers when a patient is at risk of accidentally removing a breathing tube or engaging in other risky behavior.

AI continues to wow healthcare watchers with sharp guidance on clinical decisionmaking, accurate aids to risk assessment and bankable workflow efficiencies. But healthcare was, is and always will be about “human-to-human relationships, trust and healing.”

A healthcare AI startup striving to become the biggest provider of virtual medicine in India has gotten a boost in the form of investor dollars and friendly coverage in a prominent business journal.  

The U.K. is taking on a big pilot program with 500,000 people being remotely monitored at home using AI to analyze all the incoming data. The program by the National Health Service underscores where AI is likely to have the biggest impact in healthcare––non-consumption, or areas where there isn’t an affordable or convenient solution for consumers.

Comcast is venturing into the health business with a new technology that aims to monitor people’s health at home, CNBC reported. The device has been likened to Amazon’s AI-powered voice technology Alexa.

People who struggle to get a good night’s sleep and seek medical help for the problem are producing mega data on things like eye movement, breathing, brain activity and restless legs. Which is to say sleep medicine is as ripe as any field in healthcare for help from AI.

A natural language processing algorithm has achieved 90% precision in automatically spotting signs of social isolation in cancer patients by “reading” clinical notes in a hospital’s electronic health record.

A San Jose-based company focused on machine learning for care optimization, Health[at]Scale, has raised $16 million in a Series A funding round, with Optum as its sole investor.

Some are calling the first generation whose members will never have known life without smartphones “Generation Alpha.” And some are predicting they’ll be as reliant on AI as Millennials and Generation Z have been on the internet.

Researchers at Duke and in Tanzania have developed an algorithm for discerning the extent of a traumatic brain injury (TBI) in a low-resource setting.

It is well known that AI has the potential to upend several areas of medicine, including targeted treatment and diagnostics. However, a lack of knowledge about AI in the healthcare space could have a negative effect, through the spread of misinformation––and fake news.

Researchers studying the basis of visual recognition in two distinct disciplines—computer science and brain science—have put their heads together to advance both fields at once.